Method and a system for an identity management

Abstract

A management system for identifying and bio-monitoring at least one user of a vehicle. An associated personal module is configured to access personal data of a user and thereby identify the user. The management system includes: a vehicle-related module configured to access at least one vehicle component; and a communication module configured to enable an exchange of data between the personal module and the vehicle-related module, even when the personal module is outside the vehicle. The vehicle-related module is configured to make or allow at least one change to the at least one vehicle component based on the exchanged data.

1 . A computer-implemented method for managing and learning of data algorithms of at least one user of a vehicle, the method comprising:
 identifying the user based on personal data stored on a mobile device of the user;   transferring, after identifying the user, an instrument for machine learning from a mobile device of the user to the vehicle;   collecting, by the transferred instrument, user-related data during a journey;   analyzing collected user-related data in the vehicle;   learning of data algorithms in the transferred instrument; and   transferring the instrument with obtained results back to the mobile device of the user, wherein only aggregated or specifically selected data are sent back to the mobile device.   
     
     
         2 . The method according to  claim 1 , further comprising:
 detecting a condition or the movement of the user in the vehicle by obtaining and processing of one or more of the following information:   a use of a particular seat,   an adjustment of the seat,   a change in the state of fitness,   a health deterioration,   a fatigue of the user, and   a confirmation of a result obtained elsewhere.   
     
     
         3 . The method according to  claim 1 , wherein identifying the user further includes utilizing sensors of the vehicle for one or more of the following:
 detecting the user on a specific seat,   analyzing reactions on situations,   determining how the user sits and behaves,   determining how often the user changes the position,   determining a posture of the user,   scanning, by a 3D-camera, the user to determine a body of the user, and   comparing a weight of the user as stored in the mobile device with sensor data received from a pressure sensor in the seat of the user.   
     
     
         4 . The method according to  claim 3 , further comprising:
 providing an individualized program or information from an entertainment system of the vehicle for the detected user in the specific seat, or   
       providing information during the journey about stores and their offers along the way. 
     
     
         5 . The method according to  claim 3 , further comprising:
 determining settings in the vehicle based on previous activities outside the vehicle; and   storing the settings in the mobile device.   
     
     
         6 . The method according to  claim 1 , wherein the instrument is coupled to a sensor measuring the data usage, the method further comprising:
 measuring a data volume provided to the instrument from the vehicle,   measuring an energy consumption of the instrument, and   combining both measurements to reward, dependent on the energy consumption, the provided volume of data.   
     
     
         7 . The method according to  claim 1 , wherein at least one vehicle seat comprises contact points, the user's garment includes at least one sensor and at least one contact point or contact surface, the contact points or contact surface get into contact in a sitting position of the user, the method further comprising:
 exchanging data or supplying energy to the user's garment when the contact points are coupled.   
     
     
         8 . The method of  claim 1 , wherein the mobile device is adapted to determine one or more of the following: a heart rate, a gait, and brain waves, the method further comprising:
 determining a deterioration of a driving ability; and   switching the vehicle to fully autonomous driving mode to move the vehicle to a safe parking location.   
     
     
         9 . The method of  claim 1 , further comprising:
 determining whether the user is capable of driving the vehicle by analyzing a behavior of the user, and   sending information from the mobile device to the vehicle to authorize the user to drive the vehicle.   
     
     
         10 . The method of  claim 9 , wherein the capability to drive a vehicle is determined by analyzing sensor data of at least one of the following sensors included in the mobile device: a gyroscope, an acceleration sensor, an eye-iris scanner, and a position sensor. 
     
     
         11 . The method according to  claim 1 , further comprising:
 gathering user-related data during a ride,   hypothesizing and correlating user state changes with vehicle controls made,   testing previously established hypotheses related to at least one other user stored in the data algorithm learning instrument to the user of the vehicle,   periodically transferring the hypotheses and/or the data algorithm learning instrument to the mobile device, and   deleting all data and the data algorithm learning instrument from the gateway when the user leaves the vehicle.   
     
     
         12 . The method according to  claim 1 , further comprising:
 periodically sensing a transfer bandwidth and power supply of the vehicle and/or the mobile device; and   based thereon, controlling data transfer to data centers and specific analysis methods.   
     
     
         13 . The method according to  claim 1 , further comprising:
 controlling at least one vehicle component based on exchanged data, wherein controlling the at least one vehicle component includes one or more of the following: setting a volume, setting a music style, setting key indicators such as beats-per-minute, setting a driving style.   
     
     
         14 . The method according to  claim 1 , further comprising:
 collecting health-specific data of the user by a camera and providing information about potential health deteriorations and output on at least one of the following: a screen, a heads-up display, and an augmented reality windshield.   
     
     
         15 . The method according to  claim 14 , wherein when a higher stress level of the user is determined, at least one of the following is performed: adapting output of information on a screen or an augmented reality windshield, relaxing a suspension setting, relaxing a driving style, and providing more relaxing music. 
     
     
         16 . A computer program product having software stored thereon configured to perform the method of  claim 1  when the software is executed on a data processing unit. 
     
     
         17 . A mobile device with a personal module to enable an identity management as a service, the personal module being configured:
 to access personal data of a user and thereby to identify the user;   to store an instrument for machine learning;   to transfer, after identifying the user, the instrument for machine learning to a vehicle; and   to receive the instrument from the vehicle,   wherein the instrument is a machine learning device to develop data algorithms by analyzing user-related data temporarily received during a journey.   
     
     
         18 . The mobile device according to  claim 17 , wherein the personal data comprises at least one of the following:
 a password,   a fingerprint,   an image,   an eye iris scan,   a characteristic cardiac activity,   a heart rate,   a component or property of blood,   a temperature, and   a location information.   
     
     
         19 . A vehicle with a vehicle-related module, the vehicle related module being configured to:
 receive from a mobile device of a user an instrument for machine learning from a mobile device of the user to the vehicle;   collect or capture, by the transferred instrument, user-related data during a journey;   analyze collected user-related data in the vehicle;   learn data algorithms in the transferred instrument; and   transfer the instrument with obtained results back to the mobile device of the user.   
     
     
         20 . The vehicle of  claim 17 , wherein the vehicle comprises at least one of the following sensors as data source(s) for the management system:
 one or more cameras,   at least one pressure sensor in a vehicle seat,   a thermometer,   at least one motion detection sensor,   an ultrasonic sensor,   an infrared sensor,   a microphone,   a device for measuring bio-data, in particular an EEG/ECG,   a force sensor,   an acceleration sensor,   a moisture meter, and   a conductivity measuring device.